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Seasonality, Cointegration, and Forecasting UK Residential Energy Demand

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Author Info
Clements, Michael P
Madlener, Reinhard

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Abstract

Much of the short-run movement in energy demand in the United Kingdom is seasonal, and the contribution of long- run factors to short-run forecasts is slight. Nevertheless, using a variety of techniques, including a recently developed estimation procedure that is applicable irrespective of the orders of integration of the data, the authors obtain a long-run income elasticity of demand of about one third, and they are unable to reject a zero price elasticity. An econometric model is shown to provide superior short-run forecasts to well-known seasonal time series models ex post, but is inferior to Box-Jenkins SARMA models when the determinants themselves have to be forecast. However, the relatively short data sample and small number of forecasts suggest caution in generalizing these results. Copyright 1999 by Scottish Economic Society.

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Publisher Info
Article provided by Scottish Economic Society in its journal Scottish Journal of Political Economy.

Volume (Year): 46 (1999)
Issue (Month): 2 (May)
Pages: 185-206
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Handle: RePEc:bla:scotjp:v:46:y:1999:i:2:p:185-206

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  1. Lester C. Hunt & Guy Judge & Yashushi Ninomiya, 2000. "Modelling Technical Progress: An Application of the Stochastic Trend Model to UK Energy Demand," Surrey Energy Economics Centre (SEEC), Department of Economics Discussion Papers (SEEDS) 99, Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey. [Downloadable!]
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